{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:FSQU3BQQMIXAI5F7AIQFZDOYNO","short_pith_number":"pith:FSQU3BQQ","canonical_record":{"source":{"id":"1702.05931","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-20T11:11:50Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"58bcaccff1c7d7a8010cf24e0387e4d750e074be6d6023c7b3e2cef2559d7763","abstract_canon_sha256":"44ce1c90d70eb8dbe66c6ec6cd40051dea25823f7a4240a4ebe2570a3a34217f"},"schema_version":"1.0"},"canonical_sha256":"2ca14d8610622e0474bf02205c8dd86b83dde84b8813bd383f2415ee70634951","source":{"kind":"arxiv","id":"1702.05931","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.05931","created_at":"2026-05-18T00:43:54Z"},{"alias_kind":"arxiv_version","alias_value":"1702.05931v2","created_at":"2026-05-18T00:43:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.05931","created_at":"2026-05-18T00:43:54Z"},{"alias_kind":"pith_short_12","alias_value":"FSQU3BQQMIXA","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"FSQU3BQQMIXAI5F7","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"FSQU3BQQ","created_at":"2026-05-18T12:31:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:FSQU3BQQMIXAI5F7AIQFZDOYNO","target":"record","payload":{"canonical_record":{"source":{"id":"1702.05931","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-20T11:11:50Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"58bcaccff1c7d7a8010cf24e0387e4d750e074be6d6023c7b3e2cef2559d7763","abstract_canon_sha256":"44ce1c90d70eb8dbe66c6ec6cd40051dea25823f7a4240a4ebe2570a3a34217f"},"schema_version":"1.0"},"canonical_sha256":"2ca14d8610622e0474bf02205c8dd86b83dde84b8813bd383f2415ee70634951","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:54.417638Z","signature_b64":"4IbY5vRI8TqEkxWMEGoSiHTrLdlnF6yAIcu/bFYAYb0MDD8BesLx/odrhM0pB0ZLrXIq+cKe9U5ODTpZSZd7BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ca14d8610622e0474bf02205c8dd86b83dde84b8813bd383f2415ee70634951","last_reissued_at":"2026-05-18T00:43:54.417090Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:54.417090Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.05931","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":"2026-05-18T00:43:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CiO1P27tNqfy2dM6LP7TVFQooRNiwZfYDUqDOWB4IIJN8Og2/oqbfH2+c13b9ZSR5gmsBUiRicVXGLTAsc6DDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T18:15:30.309214Z"},"content_sha256":"44095fe20d9db43f66e7f7319195d3061f3deec0fb5cb0528a40724c5f6bfa1c","schema_version":"1.0","event_id":"sha256:44095fe20d9db43f66e7f7319195d3061f3deec0fb5cb0528a40724c5f6bfa1c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:FSQU3BQQMIXAI5F7AIQFZDOYNO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The importance of stain normalization in colorectal tissue classification with convolutional networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Alexi Baidoshvili, Babak Ehteshami Bejnordi, Bram van Ginneken, Francesco Ciompi, Gabriel Silva de Souza, Geert Litjens, Iris Nagtegaal, Jeroen van der Laak, Oscar Geessink","submitted_at":"2017-02-20T11:11:50Z","abstract_excerpt":"The development of reliable imaging biomarkers for the analysis of colorectal cancer (CRC) in hematoxylin and eosin (H&E) stained histopathology images requires an accurate and reproducible classification of the main tissue components in the image. In this paper, we propose a system for CRC tissue classification based on convolutional networks (ConvNets). We investigate the importance of stain normalization in tissue classification of CRC tissue samples in H&E-stained images. Furthermore, we report the performance of ConvNets on a cohort of rectal cancer samples and on an independent publicly "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.05931","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":"2026-05-18T00:43:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QT5lJu6D40sCJPvPWKW9MtSusXXIEnDNtvqNyXfG68E3BMT98fIecuqJtHhBElG+b5BbKwLOsr2I/NYlxkVwDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T18:15:30.309615Z"},"content_sha256":"13a661d5ca85ea07d553e9b26f237e5abd54745c38b9479b2e67825c4d779265","schema_version":"1.0","event_id":"sha256:13a661d5ca85ea07d553e9b26f237e5abd54745c38b9479b2e67825c4d779265"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FSQU3BQQMIXAI5F7AIQFZDOYNO/bundle.json","state_url":"https://pith.science/pith/FSQU3BQQMIXAI5F7AIQFZDOYNO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FSQU3BQQMIXAI5F7AIQFZDOYNO/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":"2026-05-22T18:15:30Z","links":{"resolver":"https://pith.science/pith/FSQU3BQQMIXAI5F7AIQFZDOYNO","bundle":"https://pith.science/pith/FSQU3BQQMIXAI5F7AIQFZDOYNO/bundle.json","state":"https://pith.science/pith/FSQU3BQQMIXAI5F7AIQFZDOYNO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FSQU3BQQMIXAI5F7AIQFZDOYNO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:FSQU3BQQMIXAI5F7AIQFZDOYNO","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":"44ce1c90d70eb8dbe66c6ec6cd40051dea25823f7a4240a4ebe2570a3a34217f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-20T11:11:50Z","title_canon_sha256":"58bcaccff1c7d7a8010cf24e0387e4d750e074be6d6023c7b3e2cef2559d7763"},"schema_version":"1.0","source":{"id":"1702.05931","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.05931","created_at":"2026-05-18T00:43:54Z"},{"alias_kind":"arxiv_version","alias_value":"1702.05931v2","created_at":"2026-05-18T00:43:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.05931","created_at":"2026-05-18T00:43:54Z"},{"alias_kind":"pith_short_12","alias_value":"FSQU3BQQMIXA","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"FSQU3BQQMIXAI5F7","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"FSQU3BQQ","created_at":"2026-05-18T12:31:15Z"}],"graph_snapshots":[{"event_id":"sha256:13a661d5ca85ea07d553e9b26f237e5abd54745c38b9479b2e67825c4d779265","target":"graph","created_at":"2026-05-18T00:43:54Z","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":"The development of reliable imaging biomarkers for the analysis of colorectal cancer (CRC) in hematoxylin and eosin (H&E) stained histopathology images requires an accurate and reproducible classification of the main tissue components in the image. In this paper, we propose a system for CRC tissue classification based on convolutional networks (ConvNets). We investigate the importance of stain normalization in tissue classification of CRC tissue samples in H&E-stained images. Furthermore, we report the performance of ConvNets on a cohort of rectal cancer samples and on an independent publicly ","authors_text":"Alexi Baidoshvili, Babak Ehteshami Bejnordi, Bram van Ginneken, Francesco Ciompi, Gabriel Silva de Souza, Geert Litjens, Iris Nagtegaal, Jeroen van der Laak, Oscar Geessink","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-20T11:11:50Z","title":"The importance of stain normalization in colorectal tissue classification with convolutional networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.05931","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":"sha256:44095fe20d9db43f66e7f7319195d3061f3deec0fb5cb0528a40724c5f6bfa1c","target":"record","created_at":"2026-05-18T00:43:54Z","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":"44ce1c90d70eb8dbe66c6ec6cd40051dea25823f7a4240a4ebe2570a3a34217f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-20T11:11:50Z","title_canon_sha256":"58bcaccff1c7d7a8010cf24e0387e4d750e074be6d6023c7b3e2cef2559d7763"},"schema_version":"1.0","source":{"id":"1702.05931","kind":"arxiv","version":2}},"canonical_sha256":"2ca14d8610622e0474bf02205c8dd86b83dde84b8813bd383f2415ee70634951","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ca14d8610622e0474bf02205c8dd86b83dde84b8813bd383f2415ee70634951","first_computed_at":"2026-05-18T00:43:54.417090Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:54.417090Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4IbY5vRI8TqEkxWMEGoSiHTrLdlnF6yAIcu/bFYAYb0MDD8BesLx/odrhM0pB0ZLrXIq+cKe9U5ODTpZSZd7BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:54.417638Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.05931","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:44095fe20d9db43f66e7f7319195d3061f3deec0fb5cb0528a40724c5f6bfa1c","sha256:13a661d5ca85ea07d553e9b26f237e5abd54745c38b9479b2e67825c4d779265"],"state_sha256":"1cb1cc2a5223668d7bf22b24d1af5d5b50dfea3e765bbf256d77be49f2ae23df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v1BXs9qqVL6hrwgJDMDe3Ka4cmgoHmcDUJYiiibn1CUAg0a1RM0xyNQj4zHhklwDN9a5Ava7ltAAcBeKndJrDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T18:15:30.311841Z","bundle_sha256":"b2cff1d0add134a065fb81bd16d4d3ca6dc2a1543fa143fd941f76b84c7dabb9"}}