{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:3CCAEHYFE3IFQDQV3LUSXFLVD7","short_pith_number":"pith:3CCAEHYF","canonical_record":{"source":{"id":"2001.04663","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-01-14T08:39:51Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"4281c058aa53e137547a84a53c7a6df07e4d35526f1d49e7750c9b2b3fb1ea4b","abstract_canon_sha256":"f9d46577ff0350d55bad50e0f99c0be07b027551d48d0a78e4995e038921339f"},"schema_version":"1.0"},"canonical_sha256":"d884021f0526d0580e15dae92b95751fec9e5b1c6839880a8cfbe0002e10e6a0","source":{"kind":"arxiv","id":"2001.04663","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.04663","created_at":"2026-07-05T00:33:28Z"},{"alias_kind":"arxiv_version","alias_value":"2001.04663v1","created_at":"2026-07-05T00:33:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.04663","created_at":"2026-07-05T00:33:28Z"},{"alias_kind":"pith_short_12","alias_value":"3CCAEHYFE3IF","created_at":"2026-07-05T00:33:28Z"},{"alias_kind":"pith_short_16","alias_value":"3CCAEHYFE3IFQDQV","created_at":"2026-07-05T00:33:28Z"},{"alias_kind":"pith_short_8","alias_value":"3CCAEHYF","created_at":"2026-07-05T00:33:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:3CCAEHYFE3IFQDQV3LUSXFLVD7","target":"record","payload":{"canonical_record":{"source":{"id":"2001.04663","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-01-14T08:39:51Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"4281c058aa53e137547a84a53c7a6df07e4d35526f1d49e7750c9b2b3fb1ea4b","abstract_canon_sha256":"f9d46577ff0350d55bad50e0f99c0be07b027551d48d0a78e4995e038921339f"},"schema_version":"1.0"},"canonical_sha256":"d884021f0526d0580e15dae92b95751fec9e5b1c6839880a8cfbe0002e10e6a0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:33:28.404878Z","signature_b64":"TSdnySklOw1dBvtjmrr8nAZmb26JwWZNwbIbBGBwQqKb/hORstdhehgrEDJKygaExzslVQ1QeYQgtxFeW4X7DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d884021f0526d0580e15dae92b95751fec9e5b1c6839880a8cfbe0002e10e6a0","last_reissued_at":"2026-07-05T00:33:28.404404Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:33:28.404404Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2001.04663","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":"2026-07-05T00:33:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DGTRLA9KDe/2fvlmaMpNE1tgl+N2DNJPFB3qDMCSfs6i49jxD4wds9LwOFiec5YDQVC71scYKuTB8G8j2ktQDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T13:57:42.507999Z"},"content_sha256":"ac1a7a9a3ee1d810283863dc43079599c440ca550778eae41d97c290fda43090","schema_version":"1.0","event_id":"sha256:ac1a7a9a3ee1d810283863dc43079599c440ca550778eae41d97c290fda43090"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:3CCAEHYFE3IFQDQV3LUSXFLVD7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Effects of annotation granularity in deep learning models for histopathological images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Chen Li, Chunbao Wang, Haichuan Zhang, Jiangbo Shi, Pargorn Puttapirat, Xiangrong Zhang, Zeyu Gao","submitted_at":"2020-01-14T08:39:51Z","abstract_excerpt":"Pathological is crucial to cancer diagnosis. Usually, Pathologists draw their conclusion based on observed cell and tissue structure on histology slides. Rapid development in machine learning, especially deep learning have established robust and accurate classifiers. They are being used to analyze histopathological slides and assist pathologists in diagnosis. Most machine learning systems rely heavily on annotated data sets to gain experiences and knowledge to correctly and accurately perform various tasks such as classification and segmentation. This work investigates different granularity of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.04663","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2001.04663/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T00:33:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EbJ4rjuMUiTn83RY6Qf8y5UGGHBqvLITLt4Pg3Db7TlYl4jgYmNU+PR0Vd2Sm6XSyo9hV4Vwylh+fZufVB2MDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T13:57:42.508593Z"},"content_sha256":"c12f429b954c59337b43f7302c7226f0a22b7bfbd3d0e4a9b0845efe1b3fb342","schema_version":"1.0","event_id":"sha256:c12f429b954c59337b43f7302c7226f0a22b7bfbd3d0e4a9b0845efe1b3fb342"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3CCAEHYFE3IFQDQV3LUSXFLVD7/bundle.json","state_url":"https://pith.science/pith/3CCAEHYFE3IFQDQV3LUSXFLVD7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3CCAEHYFE3IFQDQV3LUSXFLVD7/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":"2026-08-18T13:57:42Z","links":{"resolver":"https://pith.science/pith/3CCAEHYFE3IFQDQV3LUSXFLVD7","bundle":"https://pith.science/pith/3CCAEHYFE3IFQDQV3LUSXFLVD7/bundle.json","state":"https://pith.science/pith/3CCAEHYFE3IFQDQV3LUSXFLVD7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3CCAEHYFE3IFQDQV3LUSXFLVD7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:3CCAEHYFE3IFQDQV3LUSXFLVD7","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":"f9d46577ff0350d55bad50e0f99c0be07b027551d48d0a78e4995e038921339f","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-01-14T08:39:51Z","title_canon_sha256":"4281c058aa53e137547a84a53c7a6df07e4d35526f1d49e7750c9b2b3fb1ea4b"},"schema_version":"1.0","source":{"id":"2001.04663","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.04663","created_at":"2026-07-05T00:33:28Z"},{"alias_kind":"arxiv_version","alias_value":"2001.04663v1","created_at":"2026-07-05T00:33:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.04663","created_at":"2026-07-05T00:33:28Z"},{"alias_kind":"pith_short_12","alias_value":"3CCAEHYFE3IF","created_at":"2026-07-05T00:33:28Z"},{"alias_kind":"pith_short_16","alias_value":"3CCAEHYFE3IFQDQV","created_at":"2026-07-05T00:33:28Z"},{"alias_kind":"pith_short_8","alias_value":"3CCAEHYF","created_at":"2026-07-05T00:33:28Z"}],"graph_snapshots":[{"event_id":"sha256:c12f429b954c59337b43f7302c7226f0a22b7bfbd3d0e4a9b0845efe1b3fb342","target":"graph","created_at":"2026-07-05T00:33:28Z","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/2001.04663/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pathological is crucial to cancer diagnosis. Usually, Pathologists draw their conclusion based on observed cell and tissue structure on histology slides. Rapid development in machine learning, especially deep learning have established robust and accurate classifiers. They are being used to analyze histopathological slides and assist pathologists in diagnosis. Most machine learning systems rely heavily on annotated data sets to gain experiences and knowledge to correctly and accurately perform various tasks such as classification and segmentation. This work investigates different granularity of","authors_text":"Chen Li, Chunbao Wang, Haichuan Zhang, Jiangbo Shi, Pargorn Puttapirat, Xiangrong Zhang, Zeyu Gao","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-01-14T08:39:51Z","title":"Effects of annotation granularity in deep learning models for histopathological images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.04663","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:ac1a7a9a3ee1d810283863dc43079599c440ca550778eae41d97c290fda43090","target":"record","created_at":"2026-07-05T00:33:28Z","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":"f9d46577ff0350d55bad50e0f99c0be07b027551d48d0a78e4995e038921339f","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-01-14T08:39:51Z","title_canon_sha256":"4281c058aa53e137547a84a53c7a6df07e4d35526f1d49e7750c9b2b3fb1ea4b"},"schema_version":"1.0","source":{"id":"2001.04663","kind":"arxiv","version":1}},"canonical_sha256":"d884021f0526d0580e15dae92b95751fec9e5b1c6839880a8cfbe0002e10e6a0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d884021f0526d0580e15dae92b95751fec9e5b1c6839880a8cfbe0002e10e6a0","first_computed_at":"2026-07-05T00:33:28.404404Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:33:28.404404Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TSdnySklOw1dBvtjmrr8nAZmb26JwWZNwbIbBGBwQqKb/hORstdhehgrEDJKygaExzslVQ1QeYQgtxFeW4X7DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:33:28.404878Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.04663","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac1a7a9a3ee1d810283863dc43079599c440ca550778eae41d97c290fda43090","sha256:c12f429b954c59337b43f7302c7226f0a22b7bfbd3d0e4a9b0845efe1b3fb342"],"state_sha256":"b59988553451b11332506ebcc8e72cf3a6e7b54803707fc4257608ec6155dc28"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AjxW5xu98uSnWlb2FpLEnSbVbGJN3Egc81mqiV2FPvLQE62+uunWc5vEolBXCAImazn63qesvXoBWzgJQ9QmBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T13:57:42.512592Z","bundle_sha256":"db123ed5912b6eaacf2a74450b7e8835beef23a579d5ee9c06ff5554237b6add"}}