{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:65EDA26VJARGW2FQ6OI6CNJT45","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":"586931242e31dc8ac3cf61568e9a62aa68297c07ff39692aa2a9a27bb3f61739","cross_cats_sorted":["cs.CL","q-bio.GN"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-10T15:48:07Z","title_canon_sha256":"ec597ecdd797adcc26925ace3e2adac2f82f611bfeccbd2325c50cf367d9b881"},"schema_version":"1.0","source":{"id":"2406.06393","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06393","created_at":"2026-07-05T08:34:48Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06393v2","created_at":"2026-07-05T08:34:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06393","created_at":"2026-07-05T08:34:48Z"},{"alias_kind":"pith_short_12","alias_value":"65EDA26VJARG","created_at":"2026-07-05T08:34:48Z"},{"alias_kind":"pith_short_16","alias_value":"65EDA26VJARGW2FQ","created_at":"2026-07-05T08:34:48Z"},{"alias_kind":"pith_short_8","alias_value":"65EDA26V","created_at":"2026-07-05T08:34:48Z"}],"graph_snapshots":[{"event_id":"sha256:b5e8e7d7480a58b3429b96eb63a366a70380543294e678df8312a40b444f9b98","target":"graph","created_at":"2026-07-05T08:34:48Z","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/2406.06393/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in multi-modal algorithms have driven and been driven by the increasing availability of large image-text datasets, leading to significant strides in various fields, including computational pathology. However, in most existing medical image-text datasets, the text typically provides high-level summaries that may not sufficiently describe sub-tile regions within a large pathology image. For example, an image might cover an extensive tissue area containing cancerous and healthy regions, but the accompanying text might only specify that this image is a cancer slide, lacking the nua","authors_text":"Didong Li, Jiawen Chen, Jinwei Zhang, Muqing Zhou, Wenrong Wu, Yun Li","cross_cats":["cs.CL","q-bio.GN"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-10T15:48:07Z","title":"STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06393","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:f0ac365ca5e13b7bb18b429514a28ddb2198aec2c02d909eef282a9aa86de539","target":"record","created_at":"2026-07-05T08:34:48Z","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":"586931242e31dc8ac3cf61568e9a62aa68297c07ff39692aa2a9a27bb3f61739","cross_cats_sorted":["cs.CL","q-bio.GN"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-10T15:48:07Z","title_canon_sha256":"ec597ecdd797adcc26925ace3e2adac2f82f611bfeccbd2325c50cf367d9b881"},"schema_version":"1.0","source":{"id":"2406.06393","kind":"arxiv","version":2}},"canonical_sha256":"f748306bd548226b68b0f391e13533e743383d6043f60861da1a8f2f0b6e8f15","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f748306bd548226b68b0f391e13533e743383d6043f60861da1a8f2f0b6e8f15","first_computed_at":"2026-07-05T08:34:48.376950Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:34:48.376950Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zyfFfLN2TmjnxihBb0+zXHi9jbWY1gKuP1cLLJVCLJXA0VfP7lA97dVlBPWv6p5VCJKZkMylJqfJ/BwcVdqLDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:34:48.377428Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.06393","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f0ac365ca5e13b7bb18b429514a28ddb2198aec2c02d909eef282a9aa86de539","sha256:b5e8e7d7480a58b3429b96eb63a366a70380543294e678df8312a40b444f9b98"],"state_sha256":"8216e0c17e57f549e355de8092d0c9fdf93793a7ab251718f95b3dfe000ed2ca"}