{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:V5BPUOFYGB3FGMMUGQUACCMPYO","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":"3850f5b207e2985cd943aeac1ec4646c6ebe021dbc2078063e2db5830dd0deac","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T23:16:37Z","title_canon_sha256":"a3a011ee814b3f13b8afedacf6e6163197b805b4af395793652a321a8dc640e0"},"schema_version":"1.0","source":{"id":"2312.04746","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.04746","created_at":"2026-07-05T09:59:43Z"},{"alias_kind":"arxiv_version","alias_value":"2312.04746v3","created_at":"2026-07-05T09:59:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.04746","created_at":"2026-07-05T09:59:43Z"},{"alias_kind":"pith_short_12","alias_value":"V5BPUOFYGB3F","created_at":"2026-07-05T09:59:43Z"},{"alias_kind":"pith_short_16","alias_value":"V5BPUOFYGB3FGMMU","created_at":"2026-07-05T09:59:43Z"},{"alias_kind":"pith_short_8","alias_value":"V5BPUOFY","created_at":"2026-07-05T09:59:43Z"}],"graph_snapshots":[{"event_id":"sha256:3d7495d377a327919b648681c6304b5ab1ec1045d1601c7ba0d18df0e4eabdee","target":"graph","created_at":"2026-07-05T09:59:43Z","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/2312.04746/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diagnosis in histopathology requires a global whole slide images (WSIs) analysis, requiring pathologists to compound evidence from different WSI patches. The gigapixel scale of WSIs poses a challenge for histopathology multi-modal models. Training multi-model models for histopathology requires instruction tuning datasets, which currently contain information for individual image patches, without a spatial grounding of the concepts within each patch and without a wider view of the WSI. Therefore, they lack sufficient diagnostic capacity for histopathology. To bridge this gap, we introduce Quilt-","authors_text":"Fatemeh Ghezloo, Linda Shapiro, Mehmet Saygin Seyfioglu, Ranjay Krishna, Wisdom O. Ikezogwo","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T23:16:37Z","title":"Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.04746","kind":"arxiv","version":3},"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:c0d71137105eb59e777b26652e10812ca2ba5c92d76b2e906dcce27189e7e17b","target":"record","created_at":"2026-07-05T09:59:43Z","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":"3850f5b207e2985cd943aeac1ec4646c6ebe021dbc2078063e2db5830dd0deac","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T23:16:37Z","title_canon_sha256":"a3a011ee814b3f13b8afedacf6e6163197b805b4af395793652a321a8dc640e0"},"schema_version":"1.0","source":{"id":"2312.04746","kind":"arxiv","version":3}},"canonical_sha256":"af42fa38b83076533194342801098fc3b59a18e3ab8808f75fcff1f84fc2ebec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"af42fa38b83076533194342801098fc3b59a18e3ab8808f75fcff1f84fc2ebec","first_computed_at":"2026-07-05T09:59:43.090395Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:43.090395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7BJd+DBIP8D5IfWsqz9P659zIqAad9ZyVhO5gflzRD2QGdIXxXaC6O3pLbZ/vrn9INkVGF+dBxK7FahYHxG9DA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:43.090863Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.04746","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c0d71137105eb59e777b26652e10812ca2ba5c92d76b2e906dcce27189e7e17b","sha256:3d7495d377a327919b648681c6304b5ab1ec1045d1601c7ba0d18df0e4eabdee"],"state_sha256":"35bdf647a9ddf13f2a7100648c72d85dadcdacc8aa661d4ab70052ba52f39c94"}