{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HR2YKW2Y653RWNWU7FCV5LYH6A","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":"f41f311621d1efa9a8f9747cc2ad0e0d1564757391e97050dac4536c461be690","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-19T15:38:43Z","title_canon_sha256":"ed549acd077203343b7e8dc025d3215ea5139aca1d58a3605809a87f2113a754"},"schema_version":"1.0","source":{"id":"2301.08125","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.08125","created_at":"2026-07-05T06:31:08Z"},{"alias_kind":"arxiv_version","alias_value":"2301.08125v2","created_at":"2026-07-05T06:31:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.08125","created_at":"2026-07-05T06:31:08Z"},{"alias_kind":"pith_short_12","alias_value":"HR2YKW2Y653R","created_at":"2026-07-05T06:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"HR2YKW2Y653RWNWU","created_at":"2026-07-05T06:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"HR2YKW2Y","created_at":"2026-07-05T06:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:742e3b4ef50bf854efb47f5d6d213e8ed777aa60d0804826f2f4313200d143b0","target":"graph","created_at":"2026-07-05T06:31:08Z","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/2301.08125/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multiple Instance Learning (MIL) and transformers are increasingly popular in histopathology Whole Slide Image (WSI) classification. However, unlike human pathologists who selectively observe specific regions of histopathology tissues under different magnifications, most methods do not incorporate multiple resolutions of the WSIs, hierarchically and attentively, thereby leading to a loss of focus on the WSIs and information from other resolutions. To resolve this issue, we propose a Hierarchical Attention-Guided Multiple Instance Learning framework to fully exploit the WSIs. This framework can","authors_text":"Conghao Xiong, Hao Chen, Irwin King, Joseph J.Y. Sung","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-19T15:38:43Z","title":"Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.08125","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":"sha256:22516dd3d9656de497d5f5cf52270235b377392fbb2ebfc02a9cf87964439f80","target":"record","created_at":"2026-07-05T06:31:08Z","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":"f41f311621d1efa9a8f9747cc2ad0e0d1564757391e97050dac4536c461be690","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-19T15:38:43Z","title_canon_sha256":"ed549acd077203343b7e8dc025d3215ea5139aca1d58a3605809a87f2113a754"},"schema_version":"1.0","source":{"id":"2301.08125","kind":"arxiv","version":2}},"canonical_sha256":"3c75855b58f7771b36d4f9455eaf07f0250106634ee2d784c40b39b7a79a8067","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c75855b58f7771b36d4f9455eaf07f0250106634ee2d784c40b39b7a79a8067","first_computed_at":"2026-07-05T06:31:08.350047Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:31:08.350047Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FoZz0kF415r9n9/nvgOhQXD8MTe/8UuCmYPp4MWfap4yT8hSzp7poRqlWhf7/knFh3K4ycZnQDrxFQTsW1GuCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:31:08.350532Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.08125","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22516dd3d9656de497d5f5cf52270235b377392fbb2ebfc02a9cf87964439f80","sha256:742e3b4ef50bf854efb47f5d6d213e8ed777aa60d0804826f2f4313200d143b0"],"state_sha256":"d837a7d069b95153089c908d646cc4a9384dc5ef4361b1c17493c5c3a6906887"}