{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:T47M2UC3JZ3SWRNF4MYB43URXV","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":"ae888cdde5e505b4ab89dbddba471161d787e141a6b716d913b66484d59f8e10","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-21T22:24:27Z","title_canon_sha256":"125858bec5848109ca93a6c39abed1beefe7a8ea77a40e07378c2e159fc20359"},"schema_version":"1.0","source":{"id":"2303.12214","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.12214","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"arxiv_version","alias_value":"2303.12214v2","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.12214","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"pith_short_12","alias_value":"T47M2UC3JZ3S","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"pith_short_16","alias_value":"T47M2UC3JZ3SWRNF","created_at":"2026-07-05T06:57:21Z"},{"alias_kind":"pith_short_8","alias_value":"T47M2UC3","created_at":"2026-07-05T06:57:21Z"}],"graph_snapshots":[{"event_id":"sha256:b1f3519b35056c4bb4e388f9ac0d89629e68277c3c9a1bfd93c0160cda0377e9","target":"graph","created_at":"2026-07-05T06:57:21Z","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/2303.12214/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Whole slide image (WSI) classification is a critical task in computational pathology, requiring the processing of gigapixel-sized images, which is challenging for current deep-learning methods. Current state of the art methods are based on multi-instance learning schemes (MIL), which usually rely on pretrained features to represent the instances. Due to the lack of task-specific annotated data, these features are either obtained from well-established backbones on natural images, or, more recently from self-supervised models pretrained on histopathology. However, both approaches yield task-agno","authors_text":"Dimitris Samaras, Jingwei Zhang, Joel Saltz, Ke Ma, Maria Vakalopoulou, Prateek Prasanna, Saarthak Kapse","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-21T22:24:27Z","title":"Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.12214","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":"sha256:31ec114b9ec31109995992a97536b7605163c7a8cd713afdcceb86e3700ceb8f","target":"record","created_at":"2026-07-05T06:57:21Z","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":"ae888cdde5e505b4ab89dbddba471161d787e141a6b716d913b66484d59f8e10","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-21T22:24:27Z","title_canon_sha256":"125858bec5848109ca93a6c39abed1beefe7a8ea77a40e07378c2e159fc20359"},"schema_version":"1.0","source":{"id":"2303.12214","kind":"arxiv","version":2}},"canonical_sha256":"9f3ecd505b4e772b45a5e3301e6e91bd47afaf0b09bca74622600076da0f1b6c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f3ecd505b4e772b45a5e3301e6e91bd47afaf0b09bca74622600076da0f1b6c","first_computed_at":"2026-07-05T06:57:21.935303Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:57:21.935303Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l0Rh2dqajXmjSNBxyOvilBocBiTkbZ7toFt0vn4nfbL42FExpdLZL59x/ZwdcKrLyJgfpFft62vM121DLOQMAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:57:21.935822Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.12214","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31ec114b9ec31109995992a97536b7605163c7a8cd713afdcceb86e3700ceb8f","sha256:b1f3519b35056c4bb4e388f9ac0d89629e68277c3c9a1bfd93c0160cda0377e9"],"state_sha256":"3c9948749d56b1174280be173f90a0574a70ab844ce1e637cd122d2b776d2813"}