{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MY44SCGG7AZZRZ2MR4CSCIJNZK","short_pith_number":"pith:MY44SCGG","canonical_record":{"source":{"id":"2503.01863","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-24T22:53:22Z","cross_cats_sorted":["cs.AI","cs.CL","cs.CY","eess.IV"],"title_canon_sha256":"dcba09db5639f04ce79a9b4a08bc044d5786c273c09105b6bf61556acae15352","abstract_canon_sha256":"061462a0ebef335b34058b91ed6e86a61acebc810b02131fa2bb11ef140746cf"},"schema_version":"1.0"},"canonical_sha256":"6639c908c6f83398e74c8f0521212dcab42a673c24509fd100b890fa63094539","source":{"kind":"arxiv","id":"2503.01863","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.01863","created_at":"2026-07-05T10:23:31Z"},{"alias_kind":"arxiv_version","alias_value":"2503.01863v1","created_at":"2026-07-05T10:23:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.01863","created_at":"2026-07-05T10:23:31Z"},{"alias_kind":"pith_short_12","alias_value":"MY44SCGG7AZZ","created_at":"2026-07-05T10:23:31Z"},{"alias_kind":"pith_short_16","alias_value":"MY44SCGG7AZZRZ2M","created_at":"2026-07-05T10:23:31Z"},{"alias_kind":"pith_short_8","alias_value":"MY44SCGG","created_at":"2026-07-05T10:23:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MY44SCGG7AZZRZ2MR4CSCIJNZK","target":"record","payload":{"canonical_record":{"source":{"id":"2503.01863","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-24T22:53:22Z","cross_cats_sorted":["cs.AI","cs.CL","cs.CY","eess.IV"],"title_canon_sha256":"dcba09db5639f04ce79a9b4a08bc044d5786c273c09105b6bf61556acae15352","abstract_canon_sha256":"061462a0ebef335b34058b91ed6e86a61acebc810b02131fa2bb11ef140746cf"},"schema_version":"1.0"},"canonical_sha256":"6639c908c6f83398e74c8f0521212dcab42a673c24509fd100b890fa63094539","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:23:31.322005Z","signature_b64":"k957Xo/9iGqf1FtNZqXuxTuVU9isyPVorDY6JURLF8fyp32ZV3+xTS3mQJEajLzgzobpFXufjq2cYjK/2DxSBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6639c908c6f83398e74c8f0521212dcab42a673c24509fd100b890fa63094539","last_reissued_at":"2026-07-05T10:23:31.320977Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:23:31.320977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.01863","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:23:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F1gCI2iOMxi4jufgtKDcKuZLpJh81+TJ+U1ljk1jMceoy21YdvBclH0qoR19Uf8yBOcH+APUpO16YsNxCTy4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:30:04.039767Z"},"content_sha256":"9a21dea673d7ce187dc6ecff408a73ec2d4501880361067c08a9d52dfd4e5d73","schema_version":"1.0","event_id":"sha256:9a21dea673d7ce187dc6ecff408a73ec2d4501880361067c08a9d52dfd4e5d73"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MY44SCGG7AZZRZ2MR4CSCIJNZK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Vision Language Models in Medicine","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.CY","eess.IV"],"primary_cat":"cs.CV","authors_text":"Angel Gabriel Adaambiik, Beria Chingnabe Kalpelbe, Wei Peng","submitted_at":"2025-02-24T22:53:22Z","abstract_excerpt":"With the advent of Vision-Language Models (VLMs), medical artificial intelligence (AI) has experienced significant technological progress and paradigm shifts. This survey provides an extensive review of recent advancements in Medical Vision-Language Models (Med-VLMs), which integrate visual and textual data to enhance healthcare outcomes. We discuss the foundational technology behind Med-VLMs, illustrating how general models are adapted for complex medical tasks, and examine their applications in healthcare. The transformative impact of Med-VLMs on clinical practice, education, and patient car"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.01863","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2503.01863/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:23:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bl51JQXMvxuR0qoae28hw/xjgWl1OsSMb9LNSMY0xL/7EhaMCcD/omAbHL+RjYlg/bvgowr584qZzezMUfEKCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:30:04.040445Z"},"content_sha256":"e55f00e8f578b53a3f10486e9739bc158d8d03cc85dc5eed946a442d70bf1758","schema_version":"1.0","event_id":"sha256:e55f00e8f578b53a3f10486e9739bc158d8d03cc85dc5eed946a442d70bf1758"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MY44SCGG7AZZRZ2MR4CSCIJNZK/bundle.json","state_url":"https://pith.science/pith/MY44SCGG7AZZRZ2MR4CSCIJNZK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MY44SCGG7AZZRZ2MR4CSCIJNZK/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T21:30:04Z","links":{"resolver":"https://pith.science/pith/MY44SCGG7AZZRZ2MR4CSCIJNZK","bundle":"https://pith.science/pith/MY44SCGG7AZZRZ2MR4CSCIJNZK/bundle.json","state":"https://pith.science/pith/MY44SCGG7AZZRZ2MR4CSCIJNZK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MY44SCGG7AZZRZ2MR4CSCIJNZK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MY44SCGG7AZZRZ2MR4CSCIJNZK","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":"061462a0ebef335b34058b91ed6e86a61acebc810b02131fa2bb11ef140746cf","cross_cats_sorted":["cs.AI","cs.CL","cs.CY","eess.IV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-24T22:53:22Z","title_canon_sha256":"dcba09db5639f04ce79a9b4a08bc044d5786c273c09105b6bf61556acae15352"},"schema_version":"1.0","source":{"id":"2503.01863","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.01863","created_at":"2026-07-05T10:23:31Z"},{"alias_kind":"arxiv_version","alias_value":"2503.01863v1","created_at":"2026-07-05T10:23:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.01863","created_at":"2026-07-05T10:23:31Z"},{"alias_kind":"pith_short_12","alias_value":"MY44SCGG7AZZ","created_at":"2026-07-05T10:23:31Z"},{"alias_kind":"pith_short_16","alias_value":"MY44SCGG7AZZRZ2M","created_at":"2026-07-05T10:23:31Z"},{"alias_kind":"pith_short_8","alias_value":"MY44SCGG","created_at":"2026-07-05T10:23:31Z"}],"graph_snapshots":[{"event_id":"sha256:e55f00e8f578b53a3f10486e9739bc158d8d03cc85dc5eed946a442d70bf1758","target":"graph","created_at":"2026-07-05T10:23:31Z","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/2503.01863/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the advent of Vision-Language Models (VLMs), medical artificial intelligence (AI) has experienced significant technological progress and paradigm shifts. This survey provides an extensive review of recent advancements in Medical Vision-Language Models (Med-VLMs), which integrate visual and textual data to enhance healthcare outcomes. We discuss the foundational technology behind Med-VLMs, illustrating how general models are adapted for complex medical tasks, and examine their applications in healthcare. The transformative impact of Med-VLMs on clinical practice, education, and patient car","authors_text":"Angel Gabriel Adaambiik, Beria Chingnabe Kalpelbe, Wei Peng","cross_cats":["cs.AI","cs.CL","cs.CY","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-24T22:53:22Z","title":"Vision Language Models in Medicine"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.01863","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":"sha256:9a21dea673d7ce187dc6ecff408a73ec2d4501880361067c08a9d52dfd4e5d73","target":"record","created_at":"2026-07-05T10:23:31Z","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":"061462a0ebef335b34058b91ed6e86a61acebc810b02131fa2bb11ef140746cf","cross_cats_sorted":["cs.AI","cs.CL","cs.CY","eess.IV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-24T22:53:22Z","title_canon_sha256":"dcba09db5639f04ce79a9b4a08bc044d5786c273c09105b6bf61556acae15352"},"schema_version":"1.0","source":{"id":"2503.01863","kind":"arxiv","version":1}},"canonical_sha256":"6639c908c6f83398e74c8f0521212dcab42a673c24509fd100b890fa63094539","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6639c908c6f83398e74c8f0521212dcab42a673c24509fd100b890fa63094539","first_computed_at":"2026-07-05T10:23:31.320977Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:23:31.320977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k957Xo/9iGqf1FtNZqXuxTuVU9isyPVorDY6JURLF8fyp32ZV3+xTS3mQJEajLzgzobpFXufjq2cYjK/2DxSBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:23:31.322005Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.01863","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a21dea673d7ce187dc6ecff408a73ec2d4501880361067c08a9d52dfd4e5d73","sha256:e55f00e8f578b53a3f10486e9739bc158d8d03cc85dc5eed946a442d70bf1758"],"state_sha256":"e6441f7a7955b0a558161cf301bf579762006b2dba959ba1ff1092aa478867ac"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8pINLi2rt13LeQdWy7JH1k0iBedtzCT///3OhT5BP/p2SvA3sZdeSn1ErpoC7xdbGLGb96x/gBd41Tua3jDDDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T21:30:04.045661Z","bundle_sha256":"b827277c43fb8f9dba6cbcd573faf839f5a2aed09b61d89b9621b47c3ea1ef58"}}