{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CGTEUDJM2J5GAKFDCU5MAT3HPF","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":"9ddb366d0105b71a3297f0a4ec870872891ec34b7caf0343fe99c758f135884f","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-25T19:36:38Z","title_canon_sha256":"7177b6c1a052a5ba60e7f1bbd200b65cfe634e7dd095b7403b65647a337f7ff5"},"schema_version":"1.0","source":{"id":"2606.27500","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.27500","created_at":"2026-06-29T00:14:08Z"},{"alias_kind":"arxiv_version","alias_value":"2606.27500v1","created_at":"2026-06-29T00:14:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27500","created_at":"2026-06-29T00:14:08Z"},{"alias_kind":"pith_short_12","alias_value":"CGTEUDJM2J5G","created_at":"2026-06-29T00:14:08Z"},{"alias_kind":"pith_short_16","alias_value":"CGTEUDJM2J5GAKFD","created_at":"2026-06-29T00:14:08Z"},{"alias_kind":"pith_short_8","alias_value":"CGTEUDJM","created_at":"2026-06-29T00:14:08Z"}],"graph_snapshots":[{"event_id":"sha256:f05eac2ed56f183a72571af0ce585ce592a52fd98e4226875103b1051f896c37","target":"graph","created_at":"2026-06-29T00:14:08Z","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/2606.27500/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Vision-Language Models (LVLMs) specialized in healthcare are emerging as a promising research direction due to their potential impact in clinical and biomedical applications. However, progress is constrained by the scarcity of high-quality medical multimodal data, concerns about robustness in safety-critical settings, and the narrow and potentially contaminated evaluation benchmarks that limit reliable assessment. To address these issues, the field requires state-of-the-art solutions to be fully open and reproducible systems in which all components can be inspected, evaluated, and improv","authors_text":"Anna Arias-Duart, Dario Garcia-Gasulla, Enrique Lopez-Cuena, Jaume Guasch-Mart\\'i, Jordi Bayarri-Planas, Mart\\'in Su\\'arez-Fern\\'andez","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-25T19:36:38Z","title":"Aloe-Vision: Robust Vision-Language Models for Healthcare"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27500","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:c34cb6a58ca7de888f6f529d22c1bb78c8808c33ae7c6ba064916457ebb10507","target":"record","created_at":"2026-06-29T00:14:08Z","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":"9ddb366d0105b71a3297f0a4ec870872891ec34b7caf0343fe99c758f135884f","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-25T19:36:38Z","title_canon_sha256":"7177b6c1a052a5ba60e7f1bbd200b65cfe634e7dd095b7403b65647a337f7ff5"},"schema_version":"1.0","source":{"id":"2606.27500","kind":"arxiv","version":1}},"canonical_sha256":"11a64a0d2cd27a6028a3153ac04f6779762e596c3f3bb0496803c76fb4341a7a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11a64a0d2cd27a6028a3153ac04f6779762e596c3f3bb0496803c76fb4341a7a","first_computed_at":"2026-06-29T00:14:08.342189Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-29T00:14:08.342189Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jgsLTD4bnKM1DOwtbt7ctgm8Bt0DXsNCXcNct9NAP7JsIqOxFAo2htVKJKr7UHbMZWR4u7W+q0GfKZnPWr5iDg==","signature_status":"signed_v1","signed_at":"2026-06-29T00:14:08.342609Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.27500","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c34cb6a58ca7de888f6f529d22c1bb78c8808c33ae7c6ba064916457ebb10507","sha256:f05eac2ed56f183a72571af0ce585ce592a52fd98e4226875103b1051f896c37"],"state_sha256":"2e0f416a53e628736c2c582a60cc2d64aec643cecc290834ae893c658c117622"}