{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:W6UPAL2XPVUTA4QYMCZ6ITRO7D","short_pith_number":"pith:W6UPAL2X","canonical_record":{"source":{"id":"1903.10762","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-26T09:53:36Z","cross_cats_sorted":[],"title_canon_sha256":"4f2481871cd03d68bcc4da24f30ddae50e27320aab233b8a49e07596231d93b5","abstract_canon_sha256":"79eb89ad4d767c14248596c29ad3f66f28b2a3a4fed0d76e754321e9a1d18266"},"schema_version":"1.0"},"canonical_sha256":"b7a8f02f577d6930721860b3e44e2ef8f6466b90915aa35a0ca96df4be42e4d5","source":{"kind":"arxiv","id":"1903.10762","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.10762","created_at":"2026-05-17T23:50:17Z"},{"alias_kind":"arxiv_version","alias_value":"1903.10762v1","created_at":"2026-05-17T23:50:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.10762","created_at":"2026-05-17T23:50:17Z"},{"alias_kind":"pith_short_12","alias_value":"W6UPAL2XPVUT","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"W6UPAL2XPVUTA4QY","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"W6UPAL2X","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:W6UPAL2XPVUTA4QYMCZ6ITRO7D","target":"record","payload":{"canonical_record":{"source":{"id":"1903.10762","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-26T09:53:36Z","cross_cats_sorted":[],"title_canon_sha256":"4f2481871cd03d68bcc4da24f30ddae50e27320aab233b8a49e07596231d93b5","abstract_canon_sha256":"79eb89ad4d767c14248596c29ad3f66f28b2a3a4fed0d76e754321e9a1d18266"},"schema_version":"1.0"},"canonical_sha256":"b7a8f02f577d6930721860b3e44e2ef8f6466b90915aa35a0ca96df4be42e4d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:17.816048Z","signature_b64":"S6OdiMhtGDeqcQZK85J5PFZ55nEtfO++XbDsj65PpEiSGBvKdbqYkgpGgofb7LcCo3RaDz4Qytov20gWPdntDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b7a8f02f577d6930721860b3e44e2ef8f6466b90915aa35a0ca96df4be42e4d5","last_reissued_at":"2026-05-17T23:50:17.815501Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:17.815501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.10762","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":"2026-05-17T23:50:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SfNOCE1jZSgCNWsNfwSaPmv92PHaA3h6iqWhbc58UEgJPn1T3dndCU02uZ2DvHAOF4DjBMnimG68q6coZyhcDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T07:34:43.306785Z"},"content_sha256":"9230b5a43e3a3a00c0903bf57e55519ff0d7bdcf3cae31609a52a735ae514cfb","schema_version":"1.0","event_id":"sha256:9230b5a43e3a3a00c0903bf57e55519ff0d7bdcf3cae31609a52a735ae514cfb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:W6UPAL2XPVUTA4QYMCZ6ITRO7D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Nasir M. Rajpoot, Talha Qaiser","submitted_at":"2019-03-26T09:53:36Z","abstract_excerpt":"Estimating over-amplification of human epidermal growth factor receptor 2 (HER2) on invasive breast cancer (BC) is regarded as a significant predictive and prognostic marker. We propose a novel deep reinforcement learning (DRL) based model that treats immunohistochemical (IHC) scoring of HER2 as a sequential learning task. For a given image tile sampled from multi-resolution giga-pixel whole slide image (WSI), the model learns to sequentially identify some of the diagnostically relevant regions of interest (ROIs) by following a parameterized policy. The selected ROIs are processed by recurrent"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.10762","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":"2026-05-17T23:50:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JnNmA4fmJ3PaCqIUY4eAu0UNMF26pbUg8DfXd59MQ7d+Ef3RiSLClYsc3V+t3hartzLrB+74E7xaepmhqimOBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T07:34:43.307134Z"},"content_sha256":"cafb4a809df11ddfef6d02436e56a81cfa0bd122055bf0b608554e3e336e0814","schema_version":"1.0","event_id":"sha256:cafb4a809df11ddfef6d02436e56a81cfa0bd122055bf0b608554e3e336e0814"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W6UPAL2XPVUTA4QYMCZ6ITRO7D/bundle.json","state_url":"https://pith.science/pith/W6UPAL2XPVUTA4QYMCZ6ITRO7D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W6UPAL2XPVUTA4QYMCZ6ITRO7D/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":"2026-05-27T07:34:43Z","links":{"resolver":"https://pith.science/pith/W6UPAL2XPVUTA4QYMCZ6ITRO7D","bundle":"https://pith.science/pith/W6UPAL2XPVUTA4QYMCZ6ITRO7D/bundle.json","state":"https://pith.science/pith/W6UPAL2XPVUTA4QYMCZ6ITRO7D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W6UPAL2XPVUTA4QYMCZ6ITRO7D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:W6UPAL2XPVUTA4QYMCZ6ITRO7D","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":"79eb89ad4d767c14248596c29ad3f66f28b2a3a4fed0d76e754321e9a1d18266","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-26T09:53:36Z","title_canon_sha256":"4f2481871cd03d68bcc4da24f30ddae50e27320aab233b8a49e07596231d93b5"},"schema_version":"1.0","source":{"id":"1903.10762","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.10762","created_at":"2026-05-17T23:50:17Z"},{"alias_kind":"arxiv_version","alias_value":"1903.10762v1","created_at":"2026-05-17T23:50:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.10762","created_at":"2026-05-17T23:50:17Z"},{"alias_kind":"pith_short_12","alias_value":"W6UPAL2XPVUT","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"W6UPAL2XPVUTA4QY","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"W6UPAL2X","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:cafb4a809df11ddfef6d02436e56a81cfa0bd122055bf0b608554e3e336e0814","target":"graph","created_at":"2026-05-17T23:50:17Z","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":"Estimating over-amplification of human epidermal growth factor receptor 2 (HER2) on invasive breast cancer (BC) is regarded as a significant predictive and prognostic marker. We propose a novel deep reinforcement learning (DRL) based model that treats immunohistochemical (IHC) scoring of HER2 as a sequential learning task. For a given image tile sampled from multi-resolution giga-pixel whole slide image (WSI), the model learns to sequentially identify some of the diagnostically relevant regions of interest (ROIs) by following a parameterized policy. The selected ROIs are processed by recurrent","authors_text":"Nasir M. Rajpoot, Talha Qaiser","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-26T09:53:36Z","title":"Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.10762","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":"sha256:9230b5a43e3a3a00c0903bf57e55519ff0d7bdcf3cae31609a52a735ae514cfb","target":"record","created_at":"2026-05-17T23:50:17Z","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":"79eb89ad4d767c14248596c29ad3f66f28b2a3a4fed0d76e754321e9a1d18266","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-26T09:53:36Z","title_canon_sha256":"4f2481871cd03d68bcc4da24f30ddae50e27320aab233b8a49e07596231d93b5"},"schema_version":"1.0","source":{"id":"1903.10762","kind":"arxiv","version":1}},"canonical_sha256":"b7a8f02f577d6930721860b3e44e2ef8f6466b90915aa35a0ca96df4be42e4d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7a8f02f577d6930721860b3e44e2ef8f6466b90915aa35a0ca96df4be42e4d5","first_computed_at":"2026-05-17T23:50:17.815501Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:17.815501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S6OdiMhtGDeqcQZK85J5PFZ55nEtfO++XbDsj65PpEiSGBvKdbqYkgpGgofb7LcCo3RaDz4Qytov20gWPdntDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:17.816048Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.10762","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9230b5a43e3a3a00c0903bf57e55519ff0d7bdcf3cae31609a52a735ae514cfb","sha256:cafb4a809df11ddfef6d02436e56a81cfa0bd122055bf0b608554e3e336e0814"],"state_sha256":"f9420b8fcfc7eb697b6f2914a36e02eccb9df9dddbd6085992fac4a545717212"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MYmtmXxKLFMuC3bsWO99XpToUHsErioBk+AT+DuMCzrWq2rJv0JCxOiIziVwOt0zh0DwSzR2HtvH2IsudYJMCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T07:34:43.310169Z","bundle_sha256":"308bbce5feacdcad4d397d0bd869c985b6dd1b29e360d904fc0765217fd5256b"}}