{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:ZHFXBRWNVAA4ZPUNWVZYMNOERE","short_pith_number":"pith:ZHFXBRWN","canonical_record":{"source":{"id":"2002.07613","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-13T15:28:42Z","cross_cats_sorted":["cs.LG","eess.IV","stat.ML"],"title_canon_sha256":"8aada58ce4cd529e20cc7ef97741999ec0a027654306858fb1ca7a4107aa589b","abstract_canon_sha256":"dcbd61ee841e20c94091314d6df36eb5fe227612a0b6e72aba46b68a9f47c574"},"schema_version":"1.0"},"canonical_sha256":"c9cb70c6cda801ccbe8db5738635c489174cd35a2a049bfed1d1d212f1c9a63b","source":{"kind":"arxiv","id":"2002.07613","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.07613","created_at":"2026-07-05T00:42:03Z"},{"alias_kind":"arxiv_version","alias_value":"2002.07613v1","created_at":"2026-07-05T00:42:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.07613","created_at":"2026-07-05T00:42:03Z"},{"alias_kind":"pith_short_12","alias_value":"ZHFXBRWNVAA4","created_at":"2026-07-05T00:42:03Z"},{"alias_kind":"pith_short_16","alias_value":"ZHFXBRWNVAA4ZPUN","created_at":"2026-07-05T00:42:03Z"},{"alias_kind":"pith_short_8","alias_value":"ZHFXBRWN","created_at":"2026-07-05T00:42:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:ZHFXBRWNVAA4ZPUNWVZYMNOERE","target":"record","payload":{"canonical_record":{"source":{"id":"2002.07613","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-13T15:28:42Z","cross_cats_sorted":["cs.LG","eess.IV","stat.ML"],"title_canon_sha256":"8aada58ce4cd529e20cc7ef97741999ec0a027654306858fb1ca7a4107aa589b","abstract_canon_sha256":"dcbd61ee841e20c94091314d6df36eb5fe227612a0b6e72aba46b68a9f47c574"},"schema_version":"1.0"},"canonical_sha256":"c9cb70c6cda801ccbe8db5738635c489174cd35a2a049bfed1d1d212f1c9a63b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:42:03.887193Z","signature_b64":"nZZ4WIlXYZuOlDe9RmfIrWdswKql8RdMRhnc2qhk0jWBzC3gRHd9NZ6xJ/WSBD3t44nafZBJkizD5lt4Ff3aAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c9cb70c6cda801ccbe8db5738635c489174cd35a2a049bfed1d1d212f1c9a63b","last_reissued_at":"2026-07-05T00:42:03.886712Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:42:03.886712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.07613","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":"2026-07-05T00:42:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"STTEPl6OOiVJhqcyBBE554jrK9X20qYXoXzCBn+U1Cv1FT2znN4+pp7ttiZsLSSaUWVFp55TBENW05YiQ7XZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:08:05.899297Z"},"content_sha256":"35d7afaf70ccbf71c176b1e5681077cca2814a3fe08a1fe4b934f16b2d7c4ccf","schema_version":"1.0","event_id":"sha256:35d7afaf70ccbf71c176b1e5681077cca2814a3fe08a1fe4b934f16b2d7c4ccf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:ZHFXBRWNVAA4ZPUNWVZYMNOERE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.IV","stat.ML"],"primary_cat":"cs.CV","authors_text":"Jason Phang, Jungkyu Park, Kangning Liu, Krzysztof J. Geras, Kyunghyun Cho, Laura Heacock, Linda Moy, Nan Wu, S. Gene Kim, Sudarshini Tyagi, Yiqiu Shen","submitted_at":"2020-02-13T15:28:42Z","abstract_excerpt":"Medical images differ from natural images in significantly higher resolutions and smaller regions of interest. Because of these differences, neural network architectures that work well for natural images might not be applicable to medical image analysis. In this work, we extend the globally-aware multiple instance classifier, a framework we proposed to address these unique properties of medical images. This model first uses a low-capacity, yet memory-efficient, network on the whole image to identify the most informative regions. It then applies another higher-capacity network to collect detail"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.07613","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/2002.07613/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":"2026-07-05T00:42:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4BbKxBx7xdSfjDI4AItEH7ISWoYdg3EI6dk0GLzW6ZNYFqZ/Zm6R1oAEoAFi8M4oUFtcho35GhzmioiPr6gIAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:08:05.899695Z"},"content_sha256":"ebd3622c7429d476eb51abc0d2e42b08a3347b8fcf3bf37d99600a8551e4d7a4","schema_version":"1.0","event_id":"sha256:ebd3622c7429d476eb51abc0d2e42b08a3347b8fcf3bf37d99600a8551e4d7a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZHFXBRWNVAA4ZPUNWVZYMNOERE/bundle.json","state_url":"https://pith.science/pith/ZHFXBRWNVAA4ZPUNWVZYMNOERE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZHFXBRWNVAA4ZPUNWVZYMNOERE/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":"2026-07-07T09:08:05Z","links":{"resolver":"https://pith.science/pith/ZHFXBRWNVAA4ZPUNWVZYMNOERE","bundle":"https://pith.science/pith/ZHFXBRWNVAA4ZPUNWVZYMNOERE/bundle.json","state":"https://pith.science/pith/ZHFXBRWNVAA4ZPUNWVZYMNOERE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZHFXBRWNVAA4ZPUNWVZYMNOERE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ZHFXBRWNVAA4ZPUNWVZYMNOERE","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":"dcbd61ee841e20c94091314d6df36eb5fe227612a0b6e72aba46b68a9f47c574","cross_cats_sorted":["cs.LG","eess.IV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-13T15:28:42Z","title_canon_sha256":"8aada58ce4cd529e20cc7ef97741999ec0a027654306858fb1ca7a4107aa589b"},"schema_version":"1.0","source":{"id":"2002.07613","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.07613","created_at":"2026-07-05T00:42:03Z"},{"alias_kind":"arxiv_version","alias_value":"2002.07613v1","created_at":"2026-07-05T00:42:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.07613","created_at":"2026-07-05T00:42:03Z"},{"alias_kind":"pith_short_12","alias_value":"ZHFXBRWNVAA4","created_at":"2026-07-05T00:42:03Z"},{"alias_kind":"pith_short_16","alias_value":"ZHFXBRWNVAA4ZPUN","created_at":"2026-07-05T00:42:03Z"},{"alias_kind":"pith_short_8","alias_value":"ZHFXBRWN","created_at":"2026-07-05T00:42:03Z"}],"graph_snapshots":[{"event_id":"sha256:ebd3622c7429d476eb51abc0d2e42b08a3347b8fcf3bf37d99600a8551e4d7a4","target":"graph","created_at":"2026-07-05T00:42:03Z","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/2002.07613/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical images differ from natural images in significantly higher resolutions and smaller regions of interest. Because of these differences, neural network architectures that work well for natural images might not be applicable to medical image analysis. In this work, we extend the globally-aware multiple instance classifier, a framework we proposed to address these unique properties of medical images. This model first uses a low-capacity, yet memory-efficient, network on the whole image to identify the most informative regions. It then applies another higher-capacity network to collect detail","authors_text":"Jason Phang, Jungkyu Park, Kangning Liu, Krzysztof J. Geras, Kyunghyun Cho, Laura Heacock, Linda Moy, Nan Wu, S. Gene Kim, Sudarshini Tyagi, Yiqiu Shen","cross_cats":["cs.LG","eess.IV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-13T15:28:42Z","title":"An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.07613","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":"sha256:35d7afaf70ccbf71c176b1e5681077cca2814a3fe08a1fe4b934f16b2d7c4ccf","target":"record","created_at":"2026-07-05T00:42:03Z","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":"dcbd61ee841e20c94091314d6df36eb5fe227612a0b6e72aba46b68a9f47c574","cross_cats_sorted":["cs.LG","eess.IV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-13T15:28:42Z","title_canon_sha256":"8aada58ce4cd529e20cc7ef97741999ec0a027654306858fb1ca7a4107aa589b"},"schema_version":"1.0","source":{"id":"2002.07613","kind":"arxiv","version":1}},"canonical_sha256":"c9cb70c6cda801ccbe8db5738635c489174cd35a2a049bfed1d1d212f1c9a63b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c9cb70c6cda801ccbe8db5738635c489174cd35a2a049bfed1d1d212f1c9a63b","first_computed_at":"2026-07-05T00:42:03.886712Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:42:03.886712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nZZ4WIlXYZuOlDe9RmfIrWdswKql8RdMRhnc2qhk0jWBzC3gRHd9NZ6xJ/WSBD3t44nafZBJkizD5lt4Ff3aAA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:42:03.887193Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.07613","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:35d7afaf70ccbf71c176b1e5681077cca2814a3fe08a1fe4b934f16b2d7c4ccf","sha256:ebd3622c7429d476eb51abc0d2e42b08a3347b8fcf3bf37d99600a8551e4d7a4"],"state_sha256":"6d801f657aca869f0eef98e7addec5341509e9bd81c3cf1fcaf461b7b5da2268"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xgMss11qm/Epz/vZXw66mQxgXTM987Fj9et9OddLWHWvXHM4IO8Epl+9hfi+9ZkvZ7Yu2o4TDkO2kssi0SF9Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T09:08:05.901677Z","bundle_sha256":"26e772f9b85910f85c54dd3b02e4c937779666c1966fc0bf21c6618de9aec5cc"}}