{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:LB3S2DVNKUHP3OGSMLPDGH3FMP","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":"97cf13fc6b4b0312c837721f393ac02aa624c3584fa12cd53ccfe6dcc40140df","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-27T21:19:23Z","title_canon_sha256":"92fbcde9cd04075bee0363c86077e180484f414a409b49047e75ba75a87d2c64"},"schema_version":"1.0","source":{"id":"2112.13906","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.13906","created_at":"2026-07-05T03:44:00Z"},{"alias_kind":"arxiv_version","alias_value":"2112.13906v1","created_at":"2026-07-05T03:44:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.13906","created_at":"2026-07-05T03:44:00Z"},{"alias_kind":"pith_short_12","alias_value":"LB3S2DVNKUHP","created_at":"2026-07-05T03:44:00Z"},{"alias_kind":"pith_short_16","alias_value":"LB3S2DVNKUHP3OGS","created_at":"2026-07-05T03:44:00Z"},{"alias_kind":"pith_short_8","alias_value":"LB3S2DVN","created_at":"2026-07-05T03:44:00Z"}],"graph_snapshots":[{"event_id":"sha256:7c9aa8ac0e2c15f94db7b83242d241e891d4a8706d6572de99845da7da0956db","target":"graph","created_at":"2026-07-05T03:44:00Z","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/2112.13906/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive Language--Image Pre-training (CLIP) has shown remarkable success in learning with cross-modal supervision from extensive amounts of image--text pairs collected online. Thus far, the effectiveness of CLIP has been investigated primarily in general-domain multimodal problems. This work evaluates the effectiveness of CLIP for the task of Medical Visual Question Answering (MedVQA). To this end, we present PubMedCLIP, a fine-tuned version of CLIP for the medical domain based on PubMed articles. Our experiments are conducted on two MedVQA benchmark datasets and investigate two MedVQA met","authors_text":"Christoph Meinel, Gerard de Melo, Sedigheh Eslami","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-27T21:19:23Z","title":"Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.13906","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:c541b1c559655c5e919fb931513a6359af05e15b2817995a2659d45c662c3899","target":"record","created_at":"2026-07-05T03:44:00Z","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":"97cf13fc6b4b0312c837721f393ac02aa624c3584fa12cd53ccfe6dcc40140df","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-27T21:19:23Z","title_canon_sha256":"92fbcde9cd04075bee0363c86077e180484f414a409b49047e75ba75a87d2c64"},"schema_version":"1.0","source":{"id":"2112.13906","kind":"arxiv","version":1}},"canonical_sha256":"58772d0ead550efdb8d262de331f6563d07c301902c3ab151031868e53fa0f88","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"58772d0ead550efdb8d262de331f6563d07c301902c3ab151031868e53fa0f88","first_computed_at":"2026-07-05T03:44:00.198864Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:44:00.198864Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vivuf2JILVpJqNCToZW9OUHdhqMzzwHvcgpx3flUiv6VuH3QpmB1h+r3i6DeEL6SGjAe3VIvGKbsIUaeVE5oAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:44:00.199269Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.13906","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c541b1c559655c5e919fb931513a6359af05e15b2817995a2659d45c662c3899","sha256:7c9aa8ac0e2c15f94db7b83242d241e891d4a8706d6572de99845da7da0956db"],"state_sha256":"0b7cabd3cde5699ce09318edadce513a0343bfe6b5f5e798df27dc06be44b8fe"}